Masstransit alternatives code#

We decided to go with Microservices architecture as we wanted scale. We are in the process of building a modern content platform to deliver our content through various channels. We then integrate those deployments into a service mesh, which allows us to A/B test various implementations in our product. This provides our data scientist a one-click method of getting from their algorithms to production. PyTorch, sklearn), by automatically packaging them as Docker containers and deploying to Amazon ECS. Khan provides our data scientists the ability to quickly productionize those models they've developed with open source frameworks in Python 3 (e.g. Models produced on Flotilla are packaged for deployment in production using Khan, another framework we've developed internally. That requires serving layer that is robust, agile, flexible, and allows for self-service. We have dozens of data products actively integrated systems. The execution of batch jobs on top of ECS is managed by Flotilla, a service we built in house and open sourced (see ).Īt Stitch Fix, algorithmic integrations are pervasive across the business.

Masstransit alternatives code#

model training and execution) run in a similarly elastic environment as containers running Python and R code on Amazon EC2 Container Service clusters.

While the bulk of our compute infrastructure is dedicated to algorithmic processing, we also implemented Presto for adhoc queries and dashboards.īeyond data movement and ETL, most #ML centric jobs (e.g. We have several semi-permanent, autoscaling Yarn clusters running to serve our data processing needs. Because our storage layer (s3) is decoupled from our processing layer, we are able to scale our compute environment very elastically. Apache Spark on Yarn is our tool of choice for data movement and #ETL. We store data in an Amazon S3 based data warehouse. Data acquisition is split between events flowing through Kafka, and periodic snapshots of PostgreSQL DBs. The algorithms and data infrastructure at Stitch Fix is housed in #AWS.